| Multi-Agent Path Planning Approach Using Assignment Strategy Variations in Pursuit of Moving Targets. | 0 | 0.34 | 2021 |
| Adaptive operator selection with reinforcement learning | 0 | 0.34 | 2021 |
| Reinforcement Learning-Based Adaptive Operator Selection. | 0 | 0.34 | 2021 |
| A Comparative Analysis for Binary Search Operators used in Artificial Bee Colony. | 0 | 0.34 | 2021 |
| An analytical framework for high-speed hardware particle swarm optimization. | 0 | 0.34 | 2020 |
| Feature Selection with Artificial Bee Colony Algorithms for Classifying Parkinson's Diseases. | 0 | 0.34 | 2020 |
| Diversifying Search In Bee Algorithms For Numerical Optimisation | 0 | 0.34 | 2018 |
| A multi-agent based approach for change management in manufacturing enterprises | 8 | 0.49 | 2015 |
| Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms | 2 | 0.36 | 2015 |
| Coordinating metaheuristic agents with swarm intelligence | 22 | 0.80 | 2012 |
| Multiuser Scheduling on the LTE Downlink with Simulated Annealing | 8 | 0.58 | 2011 |
| Genetic Algorithms With Dynamic Mutation Rates And Their Industrial Applications | 1 | 0.36 | 2008 |
| A Novel Programming Model And Optimisation Algorithms For Wcdma Networks | 5 | 0.69 | 2007 |
| Variable Neighbourhood Search for Job Shop Scheduling Problems | 6 | 0.47 | 2006 |
| Parameterisation of mutation in evolutionary algorithms using the estimated main effect of genes | 2 | 0.40 | 2004 |
| An epistasis measure based on the analysis of variance for the real-coded representation in genetic algorithms | 8 | 0.52 | 2003 |
